Yu-Hsuan Chen

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He received his B.S. degree in mechanical engineering (division of aerospace engineering) from KAIST (Korea Advanced Institute of Science and Technology) and received M.S. degrees in aeronautics/astronautics and electrical engineering from Stanford and a Ph.D. degree in aeronautics/astronautics from Stanford in 2010. His research interests include(More)
Adaptive antenna array processing is widely known to provide significant anti-interference capabilities within a Global Navigation Satellite Systems (GNSS) receiver. A main challenge in the quest for such receiver architecture has always been the computational/processing requirements. Even more demanding would be to try and incorporate the flexibility of(More)
Geostationary satellites of the Wide Area Augmentation System (WAAS) offer a novel, robust, and cost-effective means of synchronizing time at widely-separated ground facilities, to levels of ~50ns, without the need for dedicated long-distance wired communication networks. However, reliance on satellite-based signals for time synchronization in(More)
Question answering websites are becoming an ever more popular knowledge sharing platform. On such websites, people may ask any type of question and then wait for someone else to answer the question. However, in this manner, askers may not obtain correct answers from appropriate experts. Recently, various approaches have been proposed to automatically find(More)
Since 2010, he is a visiting student in the GPS Laboratory at Stanford University. He received his M.S. degree in electrical engineering from National Cheng Kung University, Taiwan in 2002. His research interests include real-time GNSS software receiver design and its application of antenna-array beam-forming, dual frequency and scintillation. He received(More)
and is currently working on modernization of the Wide Area Augmentation System (WAAS) and defining future architectures to provide aircraft guidance. Key contributions include early prototype development proving the feasibility of WAAS, significant contribution to the WAAS MOPS, design of ionospheric algorithms for WAAS, and development of dual frequency(More)